---------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/clotairemit.edu/Dropbox (MIT)/J-PAL Raskin Transition/10_Analysis&Results/Agent Experiment Analysis/03_
> Logs/20240426_indiv_SUS.log
  log type:  text
 opened on:  26 Apr 2024, 01:47:28

. 
. clear

. set more off

. 
. set seed 11022022

. 
. global finance_data "$cleaned/finance"

. 
. qui cd "$output/ster_files/20210226_finance"

. 
. u "$finance_data/susenas_mar19_finance_ind_lasso.dta", clear

. 
. * rename to shorten
. rename online_banking ebank

. rename online_buy     ebuy

. rename online_sell    esell

. rename cell_phone*    cell*

. rename internet_use*  internet*

. rename smallbui_sus19_all bus

. rename smallbui_sus19_all_mar18 bus_mar18

. 
. * subsamples for heterogeneity analysis
. local men     = "& female == 0"

. local women   = "& female == 1"

. local old     = "& under30 == 0"

. local young   = "& under30 == 1"

. local lowedu  = "& high_edu == 0"

. local hiedu   = "& high_edu == 1"

. local ret = "& bus_ret == 1"

. local food = "& bus_food == 1"

. local manuf = "& bus_manuf == 1"

. local other = "& bus_other == 1"

. local trans = "& bus_trans == 1"

. local agr = "& bus_agr == 1"

. local notagr = "& bus_nagr = 1"

. 
. * village subsamples
. local 0    = "& num_agents_mar18 == 0"

. local 2    = "& at_least_2_mar18 == 0"

. local full = ""

. 
. local anysex = "&  1 == 1"

. 
. 
. * regression loop
. foreach desas in 0 full {
  2. 
. 
.   foreach var of varlist savings  {
  3. 
.     * get baseline control if it exists
.     local mar18 = ""
  4.     cap confirm variable `var'_mar18
  5.     if _rc == 0 {
  6.       local mar18 = "`var'_mar18"
  7.     }
  8. 
.     foreach pmt in pmt30 above all {
  9. 
.       di "Var: `var' | PMT: `pmt' | Desas: `desas'"
 10. 
.       foreach sample in  men women anysex {
 11. 
.         di "Var: `var' | PMT: `pmt' | Sample: `sample' | Desas: `desas'"
 12. 
.         * DL regression
.         quietly {
 13.           eststo `var'`pmt'`sample'`desas': pdslasso `var' treated (`mar18' mar16* mar17* mar18* *podes *udb i.finalst
> ratum) ///
>             if `pmt' == 1 & adult == 1 ``sample'' ``desas'', cluster(KABU) aset(i.finalstratum `mar18')
 14.             summ `var' if e(sample) == 1 & treated == 0
 15.             estadd scalar control_mean = r(mean)
 16.             estadd scalar obs = e(N)
 17.             estadd local stratum = "Yes"
 18.             estadd local lasso = "Yes"
 19.         }
 20. 
.         * RI p-val
.         randinference treated using "$importable/resample1000.dta", ///
>           reg(reg `var' treated `e(xselected)' if `pmt' == 1 & adult == 1 ``sample'' ``desas'', vce(cluster KABU)) ///
>           reps($RI) mergevar(namakabupaten) mergetype(m:1)
 21.         matrix define pvalues = (`r(RIpval)')
 22.         matrix colnames pvalues = treated
 23.         est restore `var'`pmt'`sample'`desas'
 24.         estadd matrix pvalues
 25.       }
 26.     }
 27.   }
 28. }
Var: savings | PMT: pmt30 | Desas: 0
Var: savings | PMT: pmt30 | Sample: men | Desas: 0
Original regression:

Linear regression                               Number of obs     =     12,532
                                                F(21, 102)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0193
                                                Root MSE          =     .38259

                                                  (Std. err. adjusted for 103 clusters in KABU)
-----------------------------------------------------------------------------------------------
                              |               Robust
                      savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                      treated |  -.0083587   .0127592    -0.66   0.514    -.0336666    .0169491
                savings_mar18 |   .3086205    .082308     3.75   0.000     .1453629    .4718782
            mar16_gasorbiogas |  -.1112098   .1024968    -1.09   0.280    -.3145118    .0920921
          mar16_briquettecoal |   17.97656   9.566867     1.88   0.063    -.9992702     36.9524
                  kloset2_udb |   .0380036   .0079708     4.77   0.000     .0221936    .0538136
pendidikan_tertinggi2_hoh_udb |  -.0307437   .0083604    -3.68   0.000    -.0473265   -.0141609
pendidikan_tertinggi8_hoh_udb |   .0392857   .0210878     1.86   0.065    -.0025417    .0811132
        max_degree_in_hh4_udb |   .0525158   .0143998     3.65   0.000     .0239538    .0810778
                              |
                 finalstratum |
                           2  |   .1334937    .014793     9.02   0.000     .1041518    .1628355
                           3  |   .0211424   .0184922     1.14   0.256    -.0155368    .0578216
                           4  |   .0677541    .020668     3.28   0.001     .0267592    .1087489
                           5  |   .0584778   .0335912     1.74   0.085    -.0081503    .1251058
                           6  |    .024845   .0297783     0.83   0.406    -.0342201      .08391
                           7  |   .1133837    .027761     4.08   0.000       .05832    .1684475
                           8  |   .0223847   .0202875     1.10   0.272    -.0178555    .0626248
                           9  |    .057471   .0253514     2.27   0.026     .0071866    .1077554
                          10  |   -.002067   .0272431    -0.08   0.940    -.0561035    .0519695
                          11  |  -.0164409   .0297727    -0.55   0.582    -.0754949    .0426131
                          12  |   .0988428     .04155     2.38   0.019     .0164285    .1812571
                          13  |   .0677015   .0224133     3.02   0.003     .0232448    .1121581
                          14  |   .0382219   .0259863     1.47   0.144    -.0133219    .0897657
                        1000  |   .0471937   .0232485     2.03   0.045     .0010803    .0933071
                              |
                        _cons |    .060267   .0270444     2.23   0.028     .0066245    .1139096
-----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .507
(results savingspmt30men0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: pmt30 | Sample: women | Desas: 0
Original regression:

Linear regression                               Number of obs     =     12,797
                                                F(21, 102)        =      32.15
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0602
                                                Root MSE          =     .42662

                                      (Std. err. adjusted for 103 clusters in KABU)
-----------------------------------------------------------------------------------
                  |               Robust
          savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
          treated |  -.0041785   .0142014    -0.29   0.769    -.0323469    .0239898
    savings_mar18 |   .6706821   .0931746     7.20   0.000     .4858708    .8554934
mar16_gasorbiogas |  -.8932568   .1107935    -8.06   0.000    -1.113015   -.6734983
       adapkh_udb |   .1421311    .010009    14.20   0.000     .1222782    .1619839
   adadapodik_udb |   .0183252   .0090071     2.03   0.044     .0004596    .0361907
 in_school_hh_udb |   .0486159   .0089587     5.43   0.000     .0308463    .0663854
pregnant_hh_m_udb |  -.0359721   .0083901    -4.29   0.000    -.0526137   -.0193304
                  |
     finalstratum |
               2  |   .0437118   .0310383     1.41   0.162    -.0178526    .1052762
               3  |  -.0286516   .0278955    -1.03   0.307    -.0839822     .026679
               4  |   .0108882   .0269932     0.40   0.688    -.0426526    .0644291
               5  |  -.1152337   .0243431    -4.73   0.000    -.1635181   -.0669494
               6  |  -.0458895   .0336286    -1.36   0.175    -.1125918    .0208127
               7  |    .057705   .0273493     2.11   0.037     .0034579    .1119522
               8  |   .0073452   .0201516     0.36   0.716    -.0326254    .0473158
               9  |  -.0033349   .0239805    -0.14   0.890       -.0509    .0442303
              10  |   .0352805   .0368957     0.96   0.341    -.0379018    .1084629
              11  |  -.0957085   .0293871    -3.26   0.002    -.1539977   -.0374192
              12  |  -.0185197   .0350119    -0.53   0.598    -.0879655    .0509262
              13  |  -.0071451   .0229016    -0.31   0.756    -.0525702    .0382801
              14  |   .0566569   .0344216     1.65   0.103    -.0116182     .124932
            1000  |  -.0047968   .0264568    -0.18   0.856    -.0572737    .0476802
                  |
            _cons |   .0233154   .0312653     0.75   0.458    -.0386991    .0853299
-----------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .765
(results savingspmt30women0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: pmt30 | Sample: anysex | Desas: 0
Original regression:

Linear regression                               Number of obs     =     25,329
                                                F(24, 102)        =      27.92
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0259
                                                Root MSE          =     .41069

                                              (Std. err. adjusted for 103 clusters in KABU)
-------------------------------------------------------------------------------------------
                          |               Robust
                  savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                  treated |  -.0068357   .0112308    -0.61   0.544     -.029112    .0154405
            savings_mar18 |   .4536166   .0692511     6.55   0.000     .3162575    .5909758
        mar16_gasorbiogas |  -.5182449   .0782153    -6.63   0.000    -.6733846   -.3631051
               adapkh_udb |   .0705629   .0069113    10.21   0.000     .0568544    .0842713
           adadapodik_udb |   .0234384   .0063019     3.72   0.000     .0109386    .0359383
              kloset2_udb |   .0172284   .0094243     1.83   0.070    -.0014647    .0359216
         buang_tinja2_udb |   .0213569   .0109172     1.96   0.053    -.0002973    .0430112
ijazah_tertinggi4_hoh_udb |   .0434669    .016794     2.59   0.011      .010156    .0767777
    max_degree_in_hh4_udb |   .0323296   .0095348     3.39   0.001     .0134173    .0512419
         in_school_hh_udb |   .0230075   .0059238     3.88   0.000     .0112578    .0347573
                          |
             finalstratum |
                       2  |   .0848881    .018112     4.69   0.000      .048963    .1208132
                       3  |  -.0011521   .0174781    -0.07   0.948    -.0358198    .0335155
                       4  |   .0463199   .0177164     2.61   0.010     .0111794    .0814604
                       5  |  -.0206245   .0233455    -0.88   0.379    -.0669302    .0256812
                       6  |   -.006352   .0238062    -0.27   0.790    -.0535715    .0408674
                       7  |   .0846534   .0199625     4.24   0.000     .0450579    .1242488
                       8  |   .0205352   .0148484     1.38   0.170    -.0089164    .0499869
                       9  |   .0266971    .021163     1.26   0.210    -.0152796    .0686738
                      10  |    .018106   .0253752     0.71   0.477    -.0322256    .0684375
                      11  |   -.055421   .0258395    -2.14   0.034    -.1066734   -.0041685
                      12  |   .0422233   .0345489     1.22   0.224    -.0263044    .1107509
                      13  |   .0312354    .016631     1.88   0.063    -.0017522     .064223
                      14  |   .0497295   .0225598     2.20   0.030     .0049822    .0944768
                    1000  |    .024987   .0187391     1.33   0.185    -.0121819    .0621559
                          |
                    _cons |   .0179533   .0214117     0.84   0.404    -.0245166    .0604232
-------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .505
(results savingspmt30anysex0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: above | Desas: 0
Var: savings | PMT: above | Sample: men | Desas: 0
Original regression:

Linear regression                               Number of obs     =     30,435
                                                F(33, 103)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0567
                                                Root MSE          =     .47081

                                                  (Std. err. adjusted for 104 clusters in KABU)
-----------------------------------------------------------------------------------------------
                              |               Robust
                      savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                      treated |   .0014859   .0125913     0.12   0.906    -.0234859    .0264578
                savings_mar18 |   .2375426   .1522212     1.56   0.122    -.0643522    .5394374
            mar16_gasorbiogas |  -.2445166   .1176158    -2.08   0.040    -.4777799   -.0112534
          mar16_briquettecoal |   23.76206   12.97219     1.83   0.070    -1.965213    49.48933
        mar17_savings_account |   .3124127   .0796347     3.92   0.000      .154476    .4703494
      dist_himbara_bank_podes |  -.0004257   .0004721    -0.90   0.369     -.001362    .0005105
                    atm_podes |    .063083   .0119475     5.28   0.000     .0393878    .0867781
           distance_atm_podes |   -.002105   .0004845    -4.34   0.000    -.0030658   -.0011442
               non_agri_podes |   .0559864   .0153926     3.64   0.000     .0254589    .0865139
                   adapbi_udb |  -.0330782   .0128582    -2.57   0.012    -.0585795    -.007577
                    atap7_udb |  -.0443759   .0150123    -2.96   0.004    -.0741492   -.0146026
                   atap11_udb |   .5120778   .0233786    21.90   0.000     .4657119    .5584437
                bb_masak9_udb |   -.028286   .0127983    -2.21   0.029    -.0536683   -.0029036
                  fasbab4_udb |  -.0816399    .021939    -3.72   0.000    -.1251507   -.0381291
                  age_hoh_udb |  -.0000729   .0002839    -0.26   0.798     -.000636    .0004902
pendidikan_tertinggi2_hoh_udb |  -.0556073   .0192833    -2.88   0.005    -.0938511   -.0173634
    ijazah_tertinggi1_hoh_udb |  -.0797224   .0184253    -4.33   0.000    -.1162647   -.0431802
               num_in_hh2_udb |  -.0152805   .0116385    -1.31   0.192    -.0383627    .0078016
           max_edu_in_hh2_udb |  -.0449012   .0170808    -2.63   0.010    -.0787769   -.0110256
        max_degree_in_hh3_udb |  -.0454165     .01524    -2.98   0.004    -.0756414   -.0151916
           in_school_hh_m_udb |    .007521   .0194686     0.39   0.700    -.0310904    .0461323
                              |
                 finalstratum |
                           2  |  -.0061163   .0425096    -0.14   0.886     -.090424    .0781914
                           3  |  -.0415158   .0282239    -1.47   0.144    -.0974913    .0144597
                           4  |  -.0451259   .0289905    -1.56   0.123    -.1026217    .0123699
                           5  |   .0325409   .0409452     0.79   0.429    -.0486643    .1137461
                           6  |  -.0519402   .0367099    -1.41   0.160    -.1247456    .0208652
                           7  |   .0226389   .0385346     0.59   0.558    -.0537854    .0990632
                           8  |  -.0432162    .025256    -1.71   0.090    -.0933056    .0068732
                           9  |  -.0046828   .0262996    -0.18   0.859    -.0568418    .0474762
                          10  |  -.0397703   .0256472    -1.55   0.124    -.0906354    .0110948
                          11  |  -.0727894   .0318579    -2.28   0.024    -.1359721   -.0096067
                          12  |  -.0221165    .039154    -0.56   0.573    -.0997692    .0555361
                          13  |  -.0104001   .0367946    -0.28   0.778    -.0833736    .0625734
                          14  |  -.0353731   .0227826    -1.55   0.124    -.0805571    .0098109
                        1000  |  -.0225107   .0268385    -0.84   0.404    -.0757385    .0307171
                              |
                        _cons |   .2443678   .0360384     6.78   0.000     .1728942    .3158414
-----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .92
(results savingsabovemen0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: above | Sample: women | Desas: 0
Original regression:

Linear regression                               Number of obs     =     32,087
                                                F(34, 103)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0597
                                                Root MSE          =     .43953

                                            (Std. err. adjusted for 104 clusters in KABU)
-----------------------------------------------------------------------------------------
                        |               Robust
                savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
                treated |  -.0019625   .0117135    -0.17   0.867    -.0251934    .0212684
          savings_mar18 |   .6263422   .1189315     5.27   0.000     .3904697    .8622148
      mar16_gasorbiogas |  -.3746127   .1052871    -3.56   0.001    -.5834247   -.1658006
    mar16_briquettecoal |   42.94181   7.489974     5.73   0.000     28.08721     57.7964
  mar17_savings_account |   .1378818   .0580793     2.37   0.019     .0226951    .2530684
      mar17_squattoilet |  -.0803164   .0590154    -1.36   0.177    -.1973596    .0367268
     himbara_bank_podes |   .0308926   .0163282     1.89   0.061    -.0014905    .0632757
dist_himbara_bank_podes |  -.0006144    .000358    -1.72   0.089    -.0013243    .0000955
              atm_podes |   .0262937   .0157993     1.66   0.099    -.0050404    .0576279
     distance_atm_podes |  -.0012217   .0003456    -3.54   0.001    -.0019071   -.0005363
         non_agri_podes |   .0317166   .0130082     2.44   0.016      .005918    .0575153
   distance_camat_podes |  -.0015762    .000491    -3.21   0.002    -.0025499   -.0006025
 weak_cell_signal_podes |  -.0107516   .0090908    -1.18   0.240    -.0287811    .0072778
 internet_cell_4G_podes |   .0155317   .0084449     1.84   0.069    -.0012167    .0322801
internet_cell_25G_podes |  -.0291965   .0124444    -2.35   0.021    -.0538771   -.0045158
             adapkh_udb |   .1473223   .0152981     9.63   0.000     .1169821    .1776625
          bb_masak9_udb |  -.0555691   .0095513    -5.82   0.000    -.0745119   -.0366263
        jumlah_art2_udb |  -.0240732   .0148963    -1.62   0.109    -.0536165    .0054701
            age_hoh_udb |  -.0012551   .0001675    -7.49   0.000    -.0015873   -.0009229
     max_edu_in_hh2_udb |  -.0401364   .0128023    -3.14   0.002    -.0655267    -.014746
    max_edu_in_hh11_udb |   .1394629   .0293565     4.75   0.000     .0812412    .1976846
                        |
           finalstratum |
                     2  |  -.0360363   .0535695    -0.67   0.503    -.1422789    .0702062
                     3  |  -.0310839   .0153327    -2.03   0.045    -.0614928   -.0006751
                     4  |  -.0249655    .026992    -0.92   0.357    -.0784977    .0285666
                     5  |  -.0445688   .0133928    -3.33   0.001    -.0711303   -.0180074
                     6  |  -.0233436   .0274409    -0.85   0.397    -.0777661    .0310788
                     7  |  -.0102297   .0228868    -0.45   0.656    -.0556202    .0351608
                     8  |   .0132614   .0172673     0.77   0.444    -.0209843     .047507
                     9  |   .0061609   .0141201     0.44   0.664    -.0218429    .0341648
                    10  |  -.0272547   .0147925    -1.84   0.068    -.0565922    .0020829
                    11  |  -.0433098   .0268729    -1.61   0.110    -.0966059    .0099863
                    12  |  -.0429502   .0222417    -1.93   0.056    -.0870613     .001161
                    13  |   .0024879   .0222909     0.11   0.911    -.0417207    .0466966
                    14  |  -.0408573   .0160974    -2.54   0.013    -.0727828   -.0089319
                  1000  |  -.0058211   .0236902    -0.25   0.806     -.052805    .0411627
                        |
                  _cons |   .1302752   .0216739     6.01   0.000       .08729    .1732604
-----------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .853
(results savingsabovewomen0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: above | Sample: anysex | Desas: 0
Original regression:

Linear regression                               Number of obs     =     62,522
                                                F(34, 103)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0522
                                                Root MSE          =     .45834

                                                  (Std. err. adjusted for 104 clusters in KABU)
-----------------------------------------------------------------------------------------------
                              |               Robust
                      savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                      treated |  -.0032039   .0098422    -0.33   0.745    -.0227236    .0163157
                savings_mar18 |   .4284259    .112643     3.80   0.000     .2050251    .6518268
       mar16_refilldrinkwater |   .0683945   .0353861     1.93   0.056    -.0017855    .1385744
            mar16_gasorbiogas |  -.2627169    .103525    -2.54   0.013    -.4680344   -.0573995
          mar16_briquettecoal |   37.74963   8.505028     4.44   0.000     20.88192    54.61735
        mar17_savings_account |   .1896853   .0629221     3.01   0.003      .064894    .3144765
      dist_himbara_bank_podes |  -.0007833   .0003101    -2.53   0.013    -.0013983   -.0001683
                    atm_podes |   .0502558   .0102181     4.92   0.000     .0299906    .0705211
           distance_atm_podes |  -.0016738   .0003077    -5.44   0.000    -.0022841   -.0010634
               non_agri_podes |   .0415542   .0116836     3.56   0.001     .0183826    .0647259
       internet_cell_4G_podes |   .0166392   .0069984     2.38   0.019     .0027594    .0305189
                   atap11_udb |  -.0734201   .0158375    -4.64   0.000      -.10483   -.0420101
                bb_masak9_udb |  -.0341576   .0090281    -3.78   0.000    -.0520628   -.0162525
             buang_tinja5_udb |  -.0330491   .0107933    -3.06   0.003    -.0544551   -.0116431
                  age_hoh_udb |  -.0008593   .0001758    -4.89   0.000    -.0012081   -.0005106
pendidikan_tertinggi2_hoh_udb |  -.0097949   .0124362    -0.79   0.433    -.0344592    .0148694
    ijazah_tertinggi1_hoh_udb |  -.0519497   .0131857    -3.94   0.000    -.0781004    -.025799
               num_in_hh2_udb |  -.0232902   .0084944    -2.74   0.007    -.0401369   -.0064435
           max_edu_in_hh2_udb |  -.0273987    .012734    -2.15   0.034    -.0526537   -.0021438
          max_edu_in_hh11_udb |   .0985943   .0194327     5.07   0.000      .060054    .1371346
        max_degree_in_hh2_udb |  -.0438823   .0144961    -3.03   0.003    -.0726319   -.0151327
        max_degree_in_hh3_udb |  -.0436615   .0099933    -4.37   0.000    -.0634809    -.023842
                              |
                 finalstratum |
                           2  |   .0016613   .0430885     0.04   0.969    -.0837947    .0871172
                           3  |  -.0233211   .0172495    -1.35   0.179    -.0575314    .0108891
                           4  |  -.0263714   .0196906    -1.34   0.183     -.065423    .0126802
                           5  |   -.001276   .0235938    -0.05   0.957    -.0480689    .0455168
                           6  |  -.0315296   .0300573    -1.05   0.297    -.0911413     .028082
                           7  |   .0164296   .0267376     0.61   0.540    -.0365982    .0694573
                           8  |  -.0003401   .0176099    -0.02   0.985    -.0352653    .0345851
                           9  |   .0068134   .0171176     0.40   0.691    -.0271354    .0407622
                          10  |  -.0263723   .0151298    -1.74   0.084    -.0563788    .0036341
                          11  |  -.0600394   .0223843    -2.68   0.009    -.1044334   -.0156455
                          12  |  -.0237015    .021415    -1.11   0.271    -.0661731    .0187701
                          13  |     .00943   .0244163     0.39   0.700     -.038994     .057854
                          14  |  -.0269894   .0132817    -2.03   0.045    -.0533305   -.0006484
                        1000  |  -.0026755   .0183538    -0.15   0.884    -.0390758    .0337249
                              |
                        _cons |   .1722368   .0211346     8.15   0.000     .1303214    .2141522
-----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .746
(results savingsaboveanysex0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: all | Desas: 0
Var: savings | PMT: all | Sample: men | Desas: 0
Original regression:

Linear regression                               Number of obs     =     43,436
                                                F(41, 103)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0801
                                                Root MSE          =     .44713

                                                  (Std. err. adjusted for 104 clusters in KABU)
-----------------------------------------------------------------------------------------------
                              |               Robust
                      savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                      treated |  -.0010998   .0107355    -0.10   0.919     -.022391    .0201914
                savings_mar18 |    .236283   .1345286     1.76   0.082    -.0305226    .5030887
            mar16_gasorbiogas |  -.1774617   .1075128    -1.65   0.102    -.3906879    .0357645
          mar16_briquettecoal |   32.56738   12.16291     2.68   0.009     8.445112    56.68964
        mar17_savings_account |   .2500462   .0671275     3.72   0.000     .1169146    .3831779
      dist_himbara_bank_podes |  -.0003608   .0004348    -0.83   0.409    -.0012231    .0005015
                    atm_podes |   .0530545   .0107258     4.95   0.000     .0317824    .0743265
           distance_atm_podes |  -.0015141   .0004136    -3.66   0.000    -.0023344   -.0006937
               non_agri_podes |     .04588   .0141086     3.25   0.002     .0178989     .073861
               adakks2017_udb |  -.0141723   .0089167    -1.59   0.115    -.0318564    .0035119
                   adapbi_udb |  -.0125127   .0071632    -1.75   0.084    -.0267192    .0016939
                  lantai9_udb |   -.024433   .0090581    -2.70   0.008    -.0423975   -.0064684
                bb_masak9_udb |  -.0179995   .0078056    -2.31   0.023    -.0334801    -.002519
                  fasbab5_udb |  -.0090633   .0101168    -0.90   0.372    -.0291276     .011001
             buang_tinja5_udb |  -.0237054   .0114727    -2.07   0.041    -.0464588    -.000952
               ada_laptop_udb |   .1071773    .023587     4.54   0.000     .0603979    .1539566
                  age_hoh_udb |  -.0005695   .0001599    -3.56   0.001    -.0008865   -.0002524
pendidikan_tertinggi2_hoh_udb |  -.0056818   .0101621    -0.56   0.577    -.0258359    .0144723
pendidikan_tertinggi8_hoh_udb |   .0927656    .013176     7.04   0.000     .0666341    .1188971
    ijazah_tertinggi1_hoh_udb |  -.0296586   .0110844    -2.68   0.009    -.0516418   -.0076754
      lapangan_usaha4_hoh_udb |   -.085354    .017804    -4.79   0.000     -.120664    -.050044
               num_in_hh2_udb |  -.0064344   .0067925    -0.95   0.346    -.0199056    .0070368
           max_edu_in_hh2_udb |  -.0026218   .0111483    -0.24   0.815    -.0247318    .0194882
          max_edu_in_hh11_udb |    .087416   .0162281     5.39   0.000     .0552314    .1196007
        max_degree_in_hh1_udb |  -.0404993   .0157737    -2.57   0.012    -.0717828   -.0092158
        max_degree_in_hh2_udb |  -.0385052    .010752    -3.58   0.001    -.0598292   -.0171811
        max_degree_in_hh3_udb |  -.0325502   .0093329    -3.49   0.001    -.0510598   -.0140407
              num_in_hh_m_udb |   .0924639   .0126162     7.33   0.000     .0674427    .1174852
                              |
                 finalstratum |
                           2  |   .0477573   .0367522     1.30   0.197    -.0251319    .1206466
                           3  |  -.0037071   .0239292    -0.15   0.877     -.051165    .0437509
                           4  |   .0137952   .0213791     0.65   0.520    -.0286052    .0561956
                           5  |    .067574   .0394882     1.71   0.090    -.0107416    .1458895
                           6  |  -.0070052    .032292    -0.22   0.829    -.0710487    .0570384
                           7  |   .0743151   .0285002     2.61   0.010     .0177916    .1308385
                           8  |  -.0108002   .0206562    -0.52   0.602    -.0517669    .0301666
                           9  |   .0283004   .0225031     1.26   0.211    -.0163291    .0729299
                          10  |    -.00709   .0217844    -0.33   0.745    -.0502942    .0361142
                          11  |  -.0395063   .0254394    -1.55   0.124    -.0899594    .0109468
                          12  |    .025529   .0358634     0.71   0.478    -.0455977    .0966557
                          13  |   .0324508   .0278778     1.16   0.247    -.0228382    .0877398
                          14  |   .0014127   .0204017     0.07   0.945    -.0390492    .0418746
                        1000  |   .0161886   .0238375     0.68   0.499    -.0310874    .0634645
                              |
                        _cons |   .1447149   .0283891     5.10   0.000     .0884118    .2010179
-----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .915
(results savingsallmen0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: all | Sample: women | Desas: 0
Original regression:

Linear regression                               Number of obs     =     45,395
                                                F(33, 103)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0528
                                                Root MSE          =     .43747

                                            (Std. err. adjusted for 104 clusters in KABU)
-----------------------------------------------------------------------------------------
                        |               Robust
                savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------+----------------------------------------------------------------
                treated |  -.0017976   .0107749    -0.17   0.868    -.0231671    .0195718
          savings_mar18 |   .6720305   .1094331     6.14   0.000     .4549957    .8890653
      mar16_gasorbiogas |   -.521156   .0934214    -5.58   0.000    -.7064352   -.3358767
    mar16_briquettecoal |   25.88349   6.714298     3.85   0.000     12.56726    39.19972
  mar17_savings_account |   .0867999   .0583701     1.49   0.140    -.0289635    .2025633
     himbara_bank_podes |   .0281249    .014462     1.94   0.055    -.0005569    .0568068
dist_himbara_bank_podes |  -.0006541   .0002882    -2.27   0.025    -.0012258   -.0000824
              atm_podes |   .0229008   .0140291     1.63   0.106    -.0049227    .0507242
     distance_atm_podes |  -.0011816   .0003614    -3.27   0.001    -.0018984   -.0004648
         non_agri_podes |   .0350454   .0124744     2.81   0.006     .0103055    .0597854
   distance_camat_podes |   -.001784   .0004297    -4.15   0.000    -.0026363   -.0009318
             adapkh_udb |   .1439404   .0080829    17.81   0.000     .1279099     .159971
          bb_masak9_udb |  -.0316043   .0066587    -4.75   0.000    -.0448103   -.0183983
  aset_tak_bergerak_udb |  -.0222454   .0207813    -1.07   0.287    -.0634602    .0189693
        jumlah_art2_udb |  -.0164281   .0097402    -1.69   0.095    -.0357455    .0028893
         luas_atb_m_udb |   .0209656   .0215939     0.97   0.334    -.0218608    .0637919
            age_hoh_udb |  -.0004198   .0001303    -3.22   0.002    -.0006782   -.0001615
         num_in_hh1_udb |  -.0304698   .0101857    -2.99   0.003    -.0506707    -.010269
         num_in_hh2_udb |  -.0225665   .0086236    -2.62   0.010    -.0396693   -.0054636
     max_edu_in_hh2_udb |  -.0250807   .0080552    -3.11   0.002    -.0410563    -.009105
                        |
           finalstratum |
                     2  |   -.014314   .0447968    -0.32   0.750    -.1031579      .07453
                     3  |  -.0293933   .0138575    -2.12   0.036    -.0568763   -.0019102
                     4  |  -.0189234   .0185732    -1.02   0.311    -.0557591    .0179122
                     5  |  -.0595012    .013067    -4.55   0.000    -.0854165   -.0335858
                     6  |  -.0294179    .022744    -1.29   0.199    -.0745253    .0156895
                     7  |   .0193119   .0183877     1.05   0.296    -.0171557    .0557796
                     8  |   .0121382   .0131522     0.92   0.358    -.0139461    .0382224
                     9  |   .0077115   .0146444     0.53   0.600    -.0213323    .0367553
                    10  |  -.0189813   .0150417    -1.26   0.210    -.0488129    .0108504
                    11  |  -.0508193   .0275552    -1.84   0.068    -.1054685      .00383
                    12  |  -.0372981   .0227178    -1.64   0.104    -.0823534    .0077573
                    13  |    .001451   .0212761     0.07   0.946    -.0407451     .043647
                    14  |  -.0089397   .0170485    -0.52   0.601    -.0427513    .0248718
                  1000  |  -.0019711   .0221744    -0.09   0.929    -.0459487    .0420065
                        |
                  _cons |   .1148341   .0242267     4.74   0.000     .0667861    .1628822
-----------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .867
(results savingsallwomen0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: all | Sample: anysex | Desas: 0
Original regression:
note: work_hh_m_udb omitted because of collinearity.

Linear regression                               Number of obs     =     88,831
                                                F(41, 103)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0514
                                                Root MSE          =     .44611

                                                  (Std. err. adjusted for 104 clusters in KABU)
-----------------------------------------------------------------------------------------------
                              |               Robust
                      savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                      treated |  -.0015868   .0085704    -0.19   0.853    -.0185841    .0154105
                savings_mar18 |   .4537636   .1059183     4.28   0.000     .2436996    .6638276
            mar16_gasorbiogas |  -.3433739   .0819361    -4.19   0.000    -.5058749   -.1808729
          mar16_briquettecoal |   22.52931    8.32366     2.71   0.008     6.021298    39.03733
        mar17_savings_account |   .1678642   .0516396     3.25   0.002     .0654493    .2702792
      dist_himbara_bank_podes |  -.0007066   .0002629    -2.69   0.008    -.0012279   -.0001852
                    atm_podes |   .0454623   .0096942     4.69   0.000     .0262361    .0646885
           distance_atm_podes |  -.0013854   .0003005    -4.61   0.000    -.0019814   -.0007893
               non_agri_podes |   .0424725   .0110218     3.85   0.000     .0206134    .0643316
            sta_bangunan2_udb |  -.0052859   .0083772    -0.63   0.529    -.0219001    .0113283
                  lantai9_udb |  -.0224132   .0078468    -2.86   0.005    -.0379755   -.0068509
                bb_masak9_udb |  -.0160741    .005409    -2.97   0.004    -.0268016   -.0053467
               ada_laptop_udb |   .0648262   .0171023     3.79   0.000     .0309078    .0987447
              jumlah_art2_udb |  -.0279057   .0069304    -4.03   0.000    -.0416505   -.0141609
              jumlah_art3_udb |  -.0099867   .0059549    -1.68   0.097    -.0217968    .0018234
                  age_hoh_udb |  -.0004491   .0001036    -4.33   0.000    -.0006546   -.0002435
pendidikan_tertinggi8_hoh_udb |   .0693227   .0110641     6.27   0.000     .0473797    .0912658
    ijazah_tertinggi1_hoh_udb |  -.0202407   .0085899    -2.36   0.020    -.0372768   -.0032047
               num_in_hh2_udb |  -.0113494   .0053436    -2.12   0.036    -.0219472   -.0007516
           max_edu_in_hh2_udb |  -.0137874   .0079723    -1.73   0.087    -.0295986    .0020238
          max_edu_in_hh11_udb |   .0842637   .0187359     4.50   0.000     .0471054     .121422
        max_degree_in_hh1_udb |  -.0153448   .0116475    -1.32   0.191     -.038445    .0077553
        max_degree_in_hh2_udb |  -.0055692   .0087029    -0.64   0.524    -.0228293    .0116909
        max_degree_in_hh3_udb |  -.0150537   .0071891    -2.09   0.039    -.0293114   -.0007959
        max_degree_in_hh6_udb |   .0382686   .0223163     1.71   0.089    -.0059905    .0825278
       chronic_disease_hh_udb |  -.0352531   .0069063    -5.10   0.000    -.0489501    -.021556
           in_school_hh_m_udb |   .0194206   .0262563     0.74   0.461    -.0326525    .0714937
                work_hh_m_udb |          0  (omitted)
              num_in_hh_m_udb |   .0354118   .0256864     1.38   0.171    -.0155312    .0863548
                              |
                 finalstratum |
                           2  |   .0105115   .0390079     0.27   0.788    -.0668514    .0878745
                           3  |  -.0211452   .0167463    -1.26   0.210    -.0543576    .0120671
                           4  |   -.008522   .0162582    -0.52   0.601    -.0407663    .0237223
                           5  |   .0030928   .0249628     0.12   0.902    -.0464151    .0526008
                           6  |  -.0199387   .0254015    -0.78   0.434    -.0703165    .0304391
                           7  |   .0379182   .0200207     1.89   0.061    -.0017883    .0776246
                           8  |  -.0012877    .014414    -0.09   0.929    -.0298745    .0272991
                           9  |   .0150338   .0163217     0.92   0.359    -.0173365    .0474041
                          10  |  -.0169789   .0143744    -1.18   0.240    -.0454871    .0115292
                          11  |  -.0491295   .0216411    -2.27   0.025    -.0920496   -.0062095
                          12  |   -.009012   .0248767    -0.36   0.718    -.0583491    .0403251
                          13  |   .0158864    .020988     0.76   0.451    -.0257382    .0575111
                          14  |  -.0037474   .0141587    -0.26   0.792    -.0318277     .024333
                        1000  |   .0030076   .0181306     0.17   0.869    -.0329503    .0389654
                              |
                        _cons |   .1315204   .0226954     5.80   0.000     .0865094    .1765314
-----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .864
(results savingsallanysex0 are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: pmt30 | Desas: full
Var: savings | PMT: pmt30 | Sample: men | Desas: full
Original regression:

Linear regression                               Number of obs     =     21,439
                                                F(27, 104)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0317
                                                Root MSE          =     .39125

                                                  (Std. err. adjusted for 105 clusters in KABU)
-----------------------------------------------------------------------------------------------
                              |               Robust
                      savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                      treated |    -.01165   .0107572    -1.08   0.281    -.0329819     .009682
                savings_mar18 |   .3152825   .0669683     4.71   0.000     .1824819    .4480831
            mar16_gasorbiogas |   -.158934   .0731548    -2.17   0.032    -.3040026   -.0138653
          mar16_briquettecoal |   27.37178   7.522733     3.64   0.000     12.45392    42.28964
               adadapodik_udb |   .0286837   .0057281     5.01   0.000     .0173246    .0400428
                bb_masak9_udb |   -.033769   .0067795    -4.98   0.000     -.047213   -.0203251
                  kloset2_udb |   .0261896   .0089491     2.93   0.004     .0084431    .0439361
             buang_tinja2_udb |   .0044086   .0099542     0.44   0.659     -.015331    .0241483
                ada_motor_udb |   .0307829   .0061724     4.99   0.000     .0185428    .0430231
pendidikan_tertinggi2_hoh_udb |  -.0213811   .0061234    -3.49   0.001    -.0335241   -.0092381
pendidikan_tertinggi8_hoh_udb |   .0516007   .0160119     3.22   0.002     .0198485     .083353
               num_in_hh1_udb |   .0767105   .0094921     8.08   0.000     .0578872    .0955337
           max_edu_in_hh8_udb |   .0351443   .0116291     3.02   0.003     .0120834    .0582052
        max_degree_in_hh4_udb |   .0237505    .011183     2.12   0.036     .0015742    .0459267
                              |
                 finalstratum |
                           2  |   .0788029   .0286249     2.75   0.007     .0220386    .1355672
                           3  |   .0154119   .0184091     0.84   0.404    -.0210941    .0519179
                           4  |    .065315   .0221477     2.95   0.004     .0213953    .1092347
                           5  |    .054027   .0308839     1.75   0.083     -.007217     .115271
                           6  |   .0280071   .0292469     0.96   0.340    -.0299906    .0860049
                           7  |   .0972051   .0213949     4.54   0.000     .0547782    .1396319
                           8  |  -.0049031   .0233826    -0.21   0.834    -.0512717    .0414654
                           9  |   .0530276   .0226323     2.34   0.021     .0081469    .0979083
                          10  |  -.0112717   .0218561    -0.52   0.607    -.0546131    .0320697
                          11  |  -.0059707    .022729    -0.26   0.793    -.0510431    .0391017
                          12  |   .0747863   .0338579     2.21   0.029     .0076449    .1419278
                          13  |   .0294159   .0215699     1.36   0.176    -.0133579    .0721898
                          14  |   .0525743   .0311781     1.69   0.095     -.009253    .1144015
                        1000  |   .0503549   .0221776     2.27   0.025     .0063759    .0943339
                              |
                        _cons |   .0437659   .0245684     1.78   0.078    -.0049542    .0924859
-----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .316
(results savingspmt30menfull are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: pmt30 | Sample: women | Desas: full
Original regression:

Linear regression                               Number of obs     =     22,005
                                                F(22, 104)        =      30.53
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0620
                                                Root MSE          =     .43034

                                                 (Std. err. adjusted for 105 clusters in KABU)
----------------------------------------------------------------------------------------------
                             |               Robust
                     savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-----------------------------+----------------------------------------------------------------
                     treated |  -.0005437   .0127657    -0.04   0.966    -.0258587    .0247712
               savings_mar18 |   .5462477   .0738618     7.40   0.000     .3997769    .6927184
           mar16_gasorbiogas |  -.8568577   .1030857    -8.31   0.000     -1.06128   -.6524349
mar18_mutualclosedpitttoilet |  -5.315169   2.274497    -2.34   0.021    -9.825581   -.8047568
                  adapkh_udb |   .1454027    .008752    16.61   0.000     .1280471    .1627583
              adadapodik_udb |   .0242278   .0059297     4.09   0.000     .0124689    .0359866
            in_school_hh_udb |   .0436044   .0073358     5.94   0.000     .0290572    .0581516
           pregnant_hh_m_udb |  -.0324407   .0070026    -4.63   0.000    -.0463271   -.0185542
                             |
                finalstratum |
                          2  |   -.012839   .0333507    -0.38   0.701    -.0789746    .0532966
                          3  |  -.0421345   .0311089    -1.35   0.179    -.1038247    .0195557
                          4  |   .0034587   .0275369     0.13   0.900    -.0511479    .0580653
                          5  |   -.108988     .02103    -5.18   0.000    -.1506913   -.0672846
                          6  |  -.0501155   .0313817    -1.60   0.113    -.1123465    .0121155
                          7  |   .0268398   .0314218     0.85   0.395    -.0354707    .0891504
                          8  |   .0046084   .0215068     0.21   0.831    -.0380403    .0472572
                          9  |  -.0064376   .0193387    -0.33   0.740    -.0447869    .0319117
                         10  |   .0417079   .0315966     1.32   0.190    -.0209493    .1043651
                         11  |  -.0717036   .0287702    -2.49   0.014     -.128756   -.0146511
                         12  |  -.0342442    .028679    -1.19   0.235    -.0911158    .0226274
                         13  |  -.0318076   .0216611    -1.47   0.145    -.0747623     .011147
                         14  |   .0572509   .0376318     1.52   0.131    -.0173743    .1318761
                       1000  |  -.0173938   .0231112    -0.75   0.453    -.0632242    .0284367
                             |
                       _cons |   .0611157   .0279431     2.19   0.031     .0057036    .1165278
----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .964
(results savingspmt30womenfull are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: pmt30 | Sample: anysex | Desas: full
Original regression:

Linear regression                               Number of obs     =     43,444
                                                F(31, 104)        =      36.16
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0315
                                                Root MSE          =      .4167

                                                  (Std. err. adjusted for 105 clusters in KABU)
-----------------------------------------------------------------------------------------------
                              |               Robust
                      savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                      treated |  -.0064266   .0092855    -0.69   0.490      -.02484    .0119868
                savings_mar18 |   .4274675   .0516849     8.27   0.000     .3249744    .5299605
            mar16_gasorbiogas |  -.5297468   .0658516    -8.04   0.000     -.660333   -.3991606
                   adapkh_udb |   .0750056   .0057827    12.97   0.000     .0635383    .0864728
               adadapodik_udb |   .0257602   .0043415     5.93   0.000     .0171508    .0343696
                bb_masak9_udb |  -.0255561   .0057758    -4.42   0.000    -.0370096   -.0141025
                  kloset2_udb |   .0097075   .0076849     1.26   0.209    -.0055319    .0249469
             buang_tinja2_udb |   .0118429   .0084382     1.40   0.163    -.0048904    .0285761
                  age_hoh_udb |  -.0005327   .0001102    -4.83   0.000    -.0007513   -.0003141
pendidikan_tertinggi5_hoh_udb |   .0342829   .0076145     4.50   0.000      .019183    .0493828
pendidikan_tertinggi8_hoh_udb |   .0522586   .0131345     3.98   0.000     .0262123    .0783048
    ijazah_tertinggi1_hoh_udb |  -.0129588    .005725    -2.26   0.026    -.0243118   -.0016059
           max_edu_in_hh8_udb |   .0202093   .0085512     2.36   0.020      .003252    .0371666
          max_edu_in_hh11_udb |   .0810458   .0210904     3.84   0.000     .0392228    .1228688
        max_degree_in_hh4_udb |   .0067416   .0083886     0.80   0.423    -.0098934    .0233766
        max_degree_in_hh5_udb |   .0834495   .0247829     3.37   0.001     .0343041     .132595
             in_school_hh_udb |   .0134151   .0047872     2.80   0.006     .0039218    .0229083
                              |
                 finalstratum |
                           2  |    .043542   .0240436     1.81   0.073    -.0041374    .0912214
                           3  |  -.0129232   .0182164    -0.71   0.480    -.0490471    .0232006
                           4  |   .0376986   .0167969     2.24   0.027     .0043897    .0710075
                           5  |  -.0161826   .0220341    -0.73   0.464    -.0598771    .0275118
                           6  |   .0021016   .0173917     0.12   0.904    -.0323869      .03659
                           7  |   .0672769   .0217602     3.09   0.003     .0241256    .1104282
                           8  |   .0084968   .0121663     0.70   0.486    -.0156293    .0326229
                           9  |   .0244777   .0161222     1.52   0.132    -.0074932    .0564486
                          10  |   .0197925   .0197262     1.00   0.318    -.0193253    .0589103
                          11  |  -.0264043   .0215033    -1.23   0.222    -.0690462    .0162377
                          12  |   .0274596    .023537     1.17   0.246    -.0192151    .0741343
                          13  |   .0073013   .0132273     0.55   0.582     -.018929    .0335315
                          14  |   .0619578   .0248662     2.49   0.014     .0126472    .1112684
                        1000  |   .0231945   .0163392     1.42   0.159    -.0092067    .0555956
                              |
                        _cons |   .0678949   .0163941     4.14   0.000     .0353847    .1004051
-----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .498
(results savingspmt30anysexfull are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: above | Desas: full
Var: savings | PMT: above | Sample: men | Desas: full
Original regression:
note: work_hh_m_udb omitted because of collinearity.

Linear regression                               Number of obs     =     59,569
                                                F(41, 104)        =     110.54
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0641
                                                Root MSE          =      .4763

                                                   (Std. err. adjusted for 105 clusters in KABU)
------------------------------------------------------------------------------------------------
                               |               Robust
                       savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                       treated |  -.0052869   .0103681    -0.51   0.611    -.0258472    .0152734
                 savings_mar18 |   .2592199   .1142105     2.27   0.025     .0327362    .4857036
     mar16_notbuyingdrinkwater |   -.021106   .0249026    -0.85   0.399    -.0704887    .0282767
             mar16_gasorbiogas |  -.1004264   .0808317    -1.24   0.217    -.2607187    .0598659
         mar17_savings_account |   .2561864   .0618641     4.14   0.000     .1335075    .3788652
       dist_himbara_bank_podes |  -.0008484   .0003881    -2.19   0.031    -.0016179   -.0000788
                     atm_podes |   .0495954   .0075422     6.58   0.000     .0346389    .0645519
            distance_atm_podes |  -.0012529   .0003697    -3.39   0.001    -.0019861   -.0005197
                non_agri_podes |   .0387963   .0106835     3.63   0.000     .0176105     .059982
                    adapbi_udb |  -.0226984   .0097776    -2.32   0.022    -.0420878    -.003309
                     atap7_udb |  -.0437729    .010664    -4.10   0.000      -.06492   -.0226258
                 bb_masak9_udb |  -.0209882   .0109027    -1.93   0.057    -.0426087    .0006323
                   fasbab4_udb |  -.0546103   .0171092    -3.19   0.002    -.0885385   -.0206821
              buang_tinja5_udb |  -.0388263   .0124508    -3.12   0.002    -.0635167   -.0141358
                   sta_kks_udb |  -.0121221   .0100385    -1.21   0.230    -.0320289    .0077847
                ada_laptop_udb |   .1301748   .0220348     5.91   0.000     .0864791    .1738706
                   age_hoh_udb |  -.0003627   .0001911    -1.90   0.060    -.0007416    .0000162
 pendidikan_tertinggi2_hoh_udb |  -.0440339   .0135889    -3.24   0.002    -.0709812   -.0170866
pendidikan_tertinggi11_hoh_udb |   .1795203   .0510234     3.52   0.001      .078339    .2807016
     ijazah_tertinggi1_hoh_udb |  -.0483782    .014378    -3.36   0.001    -.0768903   -.0198662
     status_pekerjaan7_hoh_udb |  -.0387839   .0139877    -2.77   0.007    -.0665221   -.0110458
            max_edu_in_hh2_udb |  -.0166327    .015588    -1.07   0.288    -.0475443    .0142788
           max_edu_in_hh11_udb |   .0487363   .0207137     2.35   0.021     .0076602    .0898123
         max_degree_in_hh2_udb |  -.0404614   .0167293    -2.42   0.017    -.0736362   -.0072866
         max_degree_in_hh3_udb |  -.0429858   .0113859    -3.78   0.000    -.0655644   -.0204072
         max_degree_in_hh6_udb |   .0624146   .0307739     2.03   0.045     .0013888    .1234403
            in_school_hh_m_udb |    .040263     .01304     3.09   0.003     .0144043    .0661218
                 work_hh_m_udb |          0  (omitted)
                               |
                  finalstratum |
                            2  |  -.0233614   .0203082    -1.15   0.253    -.0636333    .0169106
                            3  |  -.0426492   .0222043    -1.92   0.058    -.0866812    .0013828
                            4  |  -.0563876   .0219022    -2.57   0.011    -.0998204   -.0129547
                            5  |   .0019733   .0289672     0.07   0.946    -.0554697    .0594164
                            6  |  -.0493792   .0282741    -1.75   0.084    -.1054479    .0066895
                            7  |   .0347009   .0237731     1.46   0.147     -.012442    .0818437
                            8  |  -.0607732   .0190526    -3.19   0.002    -.0985552   -.0229912
                            9  |  -.0126696   .0213811    -0.59   0.555     -.055069    .0297299
                           10  |  -.0358448   .0199741    -1.79   0.076    -.0754543    .0037646
                           11  |  -.0712004   .0202944    -3.51   0.001    -.1114449   -.0309559
                           12  |  -.0107846   .0310298    -0.35   0.729    -.0723178    .0507487
                           13  |  -.0308339   .0324998    -0.95   0.345    -.0952822    .0336145
                           14  |   -.019069    .022755    -0.84   0.404    -.0641931    .0260551
                         1000  |  -.0178758    .019423    -0.92   0.360    -.0563924    .0206408
                               |
                         _cons |   .2556264   .0334242     7.65   0.000     .1893449    .3219079
------------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .648
(results savingsabovemenfull are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: above | Sample: women | Desas: full
Original regression:

Linear regression                               Number of obs     =     62,767
                                                F(38, 104)        =     150.37
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0646
                                                Root MSE          =     .45242

                                              (Std. err. adjusted for 105 clusters in KABU)
-------------------------------------------------------------------------------------------
                          |               Robust
                  savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                  treated |  -.0057441    .009444    -0.61   0.544    -.0244718    .0129836
            savings_mar18 |   .4702905   .0890401     5.28   0.000     .2937206    .6468603
  mar16_mutualsquattoilet |   -.378017   .1289633    -2.93   0.004     -.633756    -.122278
        mar16_gasorbiogas |  -.3040853   .0677452    -4.49   0.000    -.4384266    -.169744
    mar17_savings_account |   .1499962   .0481692     3.11   0.002     .0544748    .2455177
mar17_n_schoolinternet_hh |   .0141062   .0654979     0.22   0.830    -.1157787    .1439911
    mar18_pitholedisposal |  -.0618792    .025722    -2.41   0.018    -.1128869   -.0108714
       himbara_bank_podes |   .0224545   .0091772     2.45   0.016     .0042558    .0406533
  dist_himbara_bank_podes |  -.0007133   .0003367    -2.12   0.036    -.0013809   -.0000457
                atm_podes |   .0119786   .0094978     1.26   0.210    -.0068559    .0308132
       distance_atm_podes |  -.0012195   .0003259    -3.74   0.000    -.0018657   -.0005733
      non_rice_agri_podes |  -.0131661   .0078996    -1.67   0.099    -.0288312     .002499
           non_agri_podes |   .0260982   .0101607     2.57   0.012     .0059491    .0462473
     distance_camat_podes |  -.0017591   .0004246    -4.14   0.000     -.002601   -.0009172
   weak_cell_signal_podes |  -.0119412   .0067264    -1.78   0.079    -.0252798    .0013975
   internet_cell_4G_podes |   .0172687   .0061913     2.79   0.006     .0049911    .0295462
               adapkh_udb |   .1261242   .0128976     9.78   0.000     .1005478    .1517006
            bb_masak9_udb |  -.0500519   .0089262    -5.61   0.000    -.0677529   -.0323508
          jumlah_art2_udb |  -.0285678   .0125108    -2.28   0.024    -.0533771   -.0037585
              age_hoh_udb |  -.0011589   .0001278    -9.07   0.000    -.0014122   -.0009055
           num_in_hh2_udb |  -.0170674   .0084441    -2.02   0.046    -.0338125   -.0003224
       max_edu_in_hh2_udb |  -.0479344   .0103068    -4.65   0.000    -.0683732   -.0274956
      max_edu_in_hh11_udb |   .1255836   .0199403     6.30   0.000     .0860412    .1651261
    max_degree_in_hh3_udb |  -.0395556   .0089616    -4.41   0.000    -.0573268   -.0217844
                          |
             finalstratum |
                       2  |  -.0507559   .0244242    -2.08   0.040      -.09919   -.0023219
                       3  |  -.0313009   .0152111    -2.06   0.042    -.0614649   -.0011368
                       4  |  -.0145881   .0244201    -0.60   0.552    -.0630141    .0338379
                       5  |  -.0551373   .0177273    -3.11   0.002    -.0902911   -.0199835
                       6  |  -.0204182   .0212046    -0.96   0.338    -.0624677    .0216313
                       7  |  -.0125133   .0208225    -0.60   0.549    -.0538051    .0287785
                       8  |   .0358948   .0128846     2.79   0.006     .0103442    .0614453
                       9  |   .0041715   .0136608     0.31   0.761    -.0229184    .0312613
                      10  |  -.0378737   .0166436    -2.28   0.025    -.0708786   -.0048688
                      11  |  -.0350998   .0203763    -1.72   0.088    -.0755067    .0053072
                      12  |  -.0606965   .0190267    -3.19   0.002    -.0984272   -.0229658
                      13  |  -.0032763   .0236809    -0.14   0.890    -.0502364    .0436838
                      14  |  -.0246937   .0143052    -1.73   0.087    -.0530615    .0036742
                    1000  |   -.010264   .0175693    -0.58   0.560    -.0451046    .0245766
                          |
                    _cons |   .1896395    .019477     9.74   0.000     .1510159    .2282632
-------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .516
(results savingsabovewomenfull are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: above | Sample: anysex | Desas: full
Original regression:
note: work_hh_m_udb omitted because of collinearity.

Linear regression                               Number of obs     =    122,336
                                                F(41, 104)        =     191.59
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0584
                                                Root MSE          =     .46759

                                                  (Std. err. adjusted for 105 clusters in KABU)
-----------------------------------------------------------------------------------------------
                              |               Robust
                      savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
------------------------------+----------------------------------------------------------------
                      treated |  -.0044731   .0074052    -0.60   0.547    -.0191579    .0102116
                savings_mar18 |   .3858926   .0845755     4.56   0.000     .2181762    .5536089
      mar16_mutualsquattoilet |   -.453673   .1392457    -3.26   0.002    -.7298025   -.1775435
      mar16_cookwatersource13 |   .0077305   1.252149     0.01   0.995    -2.475327    2.490788
            mar16_gasorbiogas |  -.1772381   .0649166    -2.73   0.007    -.3059702   -.0485059
       mar16_notcookingathome |   .5191867   1.275825     0.41   0.685    -2.010823    3.049196
        mar17_savings_account |   .1802531   .0435248     4.14   0.000     .0939418    .2665644
      dist_himbara_bank_podes |  -.0010038   .0002767    -3.63   0.000    -.0015525   -.0004552
                    atm_podes |   .0358156   .0065429     5.47   0.000     .0228409    .0487903
           distance_atm_podes |  -.0011975   .0002846    -4.21   0.000    -.0017619   -.0006332
               non_agri_podes |   .0371435   .0083281     4.46   0.000     .0206285    .0536585
       weak_cell_signal_podes |  -.0190071   .0071399    -2.66   0.009    -.0331658   -.0048483
       internet_cell_4G_podes |   .0134172   .0058265     2.30   0.023      .001863    .0249715
                bb_masak9_udb |  -.0239373   .0082606    -2.90   0.005    -.0403184   -.0075563
             buang_tinja5_udb |  -.0264587    .007847    -3.37   0.001    -.0420195   -.0108979
               ada_laptop_udb |   .0888634    .015966     5.57   0.000     .0572021    .1205246
              jumlah_art2_udb |  -.0214658   .0094643    -2.27   0.025    -.0402339   -.0026977
                  age_hoh_udb |  -.0005378   .0001478    -3.64   0.000    -.0008308   -.0002447
pendidikan_tertinggi2_hoh_udb |  -.0176887    .009972    -1.77   0.079    -.0374636    .0020863
    ijazah_tertinggi1_hoh_udb |  -.0293966   .0106218    -2.77   0.007      -.05046   -.0083332
               num_in_hh2_udb |  -.0067717   .0069611    -0.97   0.333    -.0205759    .0070325
           max_edu_in_hh2_udb |  -.0275789   .0098056    -2.81   0.006    -.0470238   -.0081341
          max_edu_in_hh11_udb |   .0917733    .017076     5.37   0.000     .0579109    .1256357
        max_degree_in_hh2_udb |  -.0197342   .0110123    -1.79   0.076     -.041572    .0021037
        max_degree_in_hh3_udb |  -.0301624   .0080984    -3.72   0.000    -.0462219   -.0141029
        max_degree_in_hh6_udb |    .051966   .0204088     2.55   0.012     .0114946    .0924375
           in_school_hh_m_udb |   .0533154   .0081002     6.58   0.000     .0372524    .0693785
                work_hh_m_udb |          0  (omitted)
                              |
                 finalstratum |
                           2  |  -.0467815   .0179941    -2.60   0.011    -.0824645   -.0110985
                           3  |  -.0368587   .0159768    -2.31   0.023    -.0685414   -.0051761
                           4  |  -.0326881   .0200124    -1.63   0.105    -.0723734    .0069971
                           5  |  -.0200459   .0209596    -0.96   0.341    -.0616095    .0215177
                           6  |  -.0222055   .0216791    -1.02   0.308    -.0651959    .0207849
                           7  |   .0116517   .0214234     0.54   0.588    -.0308317    .0541351
                           8  |  -.0105182   .0135632    -0.78   0.440    -.0374144    .0163781
                           9  |  -.0044556   .0150443    -0.30   0.768     -.034289    .0253778
                          10  |  -.0369296   .0154197    -2.39   0.018    -.0675074   -.0063518
                          11  |  -.0555593   .0185078    -3.00   0.003     -.092261   -.0188576
                          12  |  -.0348956   .0191015    -1.83   0.071    -.0727746    .0029834
                          13  |  -.0157808   .0222167    -0.71   0.479    -.0598374    .0282759
                          14  |  -.0276865   .0159905    -1.73   0.086    -.0593963    .0040233
                        1000  |  -.0142444   .0145135    -0.98   0.329    -.0430252    .0145365
                              |
                        _cons |   .1774455    .019128     9.28   0.000     .1395139     .215377
-----------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .569
(results savingsaboveanysexfull are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: all | Desas: full
Var: savings | PMT: all | Sample: men | Desas: full
Original regression:

Linear regression                               Number of obs     =     81,779
                                                F(49, 104)        =     130.13
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0923
                                                Root MSE          =     .45569

                                                   (Std. err. adjusted for 105 clusters in KABU)
------------------------------------------------------------------------------------------------
                               |               Robust
                       savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                       treated |  -.0097567   .0086997    -1.12   0.265    -.0270085     .007495
                 savings_mar18 |   .2417786   .1028909     2.35   0.021      .037742    .4458151
             mar16_goosetoilet |  -.0318581   .0412752    -0.77   0.442    -.1137084    .0499922
     mar16_notbuyingdrinkwater |   -.015151   .0356529    -0.42   0.672     -.085852    .0555499
         mar16_cleandrinkwater |   .0683947   .0562599     1.22   0.227    -.0431708    .1799601
             mar16_gasorbiogas |  -.1267627   .0925868    -1.37   0.174    -.3103658    .0568404
         mar17_savings_account |   .2334189   .0576327     4.05   0.000     .1191311    .3477067
         mar17_cleandrinkwater |  -.1094356   .0537794    -2.03   0.044    -.2160822    -.002789
      mar18_protwelldrinkwater |  -.1035808   .0396778    -2.61   0.010    -.1822633   -.0248982
       dist_himbara_bank_podes |  -.0005263   .0003421    -1.54   0.127    -.0012047    .0001521
                     atm_podes |   .0394765    .007048     5.60   0.000     .0255002    .0534529
            distance_atm_podes |   -.001167   .0003111    -3.75   0.000    -.0017839     -.00055
                non_agri_podes |    .042961   .0096838     4.44   0.000     .0237578    .0621643
           no_bankaccess_podes |  -.0165002    .006005    -2.75   0.007    -.0284085    -.004592
                adakks2017_udb |   -.020122   .0059299    -3.39   0.001    -.0318812   -.0083627
                 bb_masak9_udb |  -.0202248   .0060054    -3.37   0.001    -.0321338   -.0083159
                   fasbab5_udb |  -.0108881   .0081244    -1.34   0.183     -.026999    .0052228
              buang_tinja5_udb |  -.0229363    .008063    -2.84   0.005    -.0389256   -.0069471
                ada_laptop_udb |   .1220119   .0182038     6.70   0.000     .0859131    .1581107
             jumlah_kamar1_udb |  -.0190608   .0066129    -2.88   0.005    -.0321745   -.0059471
                   age_hoh_udb |  -.0007043    .000121    -5.82   0.000    -.0009442   -.0004645
 pendidikan_tertinggi2_hoh_udb |  -.0069607   .0075571    -0.92   0.359    -.0219467    .0080253
 pendidikan_tertinggi8_hoh_udb |   .0885649   .0098904     8.95   0.000     .0689519    .1081779
pendidikan_tertinggi11_hoh_udb |   .2021871   .0447405     4.52   0.000     .1134651    .2909091
     ijazah_tertinggi1_hoh_udb |  -.0278071   .0080839    -3.44   0.001    -.0438377   -.0117765
       lapangan_usaha4_hoh_udb |  -.0721511   .0139716    -5.16   0.000    -.0998573   -.0444449
            max_edu_in_hh2_udb |  -.0248077   .0085271    -2.91   0.004    -.0417173   -.0078982
            max_edu_in_hh5_udb |  -.0113286   .0080814    -1.40   0.164    -.0273542    .0046971
            max_edu_in_hh7_udb |  -.0347073    .014304    -2.43   0.017    -.0630727   -.0063419
           max_edu_in_hh11_udb |   .0714796   .0167359     4.27   0.000     .0382917    .1046676
         max_degree_in_hh2_udb |  -.0100836   .0077747    -1.30   0.198    -.0255011     .005334
         max_degree_in_hh3_udb |  -.0152045   .0073077    -2.08   0.040     -.029696   -.0007131
         max_degree_in_hh6_udb |   .0457393   .0243813     1.88   0.063    -.0026098    .0940884
             disability_hh_udb |  -.0555403   .0136311    -4.07   0.000    -.0825714   -.0285092
               num_in_hh_m_udb |   .1139682   .0088382    12.89   0.000     .0964417    .1314947
                               |
                  finalstratum |
                            2  |  -.0210466    .027162    -0.77   0.440      -.07491    .0328167
                            3  |  -.0393225   .0196336    -2.00   0.048    -.0782567   -.0003882
                            4  |  -.0211655   .0187642    -1.13   0.262    -.0583756    .0160446
                            5  |   .0096665   .0292055     0.33   0.741     -.048249     .067582
                            6  |  -.0389524   .0329221    -1.18   0.239    -.1042382    .0263334
                            7  |   .0474093   .0223062     2.13   0.036     .0031751    .0916434
                            8  |  -.0632929   .0177358    -3.57   0.001    -.0984636   -.0281222
                            9  |  -.0075266   .0192405    -0.39   0.696    -.0456812    .0306281
                           10  |  -.0415297   .0198689    -2.09   0.039    -.0809304   -.0021289
                           11  |   -.056825   .0166338    -3.42   0.001    -.0898105   -.0238395
                           12  |    .016127    .026129     0.62   0.538    -.0356877    .0679417
                           13  |   -.009954   .0286883    -0.35   0.729    -.0668439    .0469359
                           14  |   -.002036   .0187892    -0.11   0.914    -.0392958    .0352237
                         1000  |  -.0107819   .0178834    -0.60   0.548    -.0462453    .0246816
                               |
                         _cons |   .2567434   .0475388     5.40   0.000     .1624722    .3510146
------------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .366
(results savingsallmenfull are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: all | Sample: women | Desas: full
Original regression:

Linear regression                               Number of obs     =     85,619
                                                F(44, 104)        =      95.65
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0608
                                                Root MSE          =     .44803

                                              (Std. err. adjusted for 105 clusters in KABU)
-------------------------------------------------------------------------------------------
                          |               Robust
                  savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                  treated |  -.0041607   .0091968    -0.45   0.652    -.0223984     .014077
            savings_mar18 |   .5032066   .0877151     5.74   0.000     .3292642     .677149
        mar16_gasorbiogas |  -.4738828    .067455    -7.03   0.000    -.6076487    -.340117
    mar17_savings_account |   .1193499   .0458595     2.60   0.011     .0284087    .2102911
mar17_n_schoolinternet_hh |   .0320972    .059092     0.54   0.588    -.0850844    .1492788
    mar18_pitholedisposal |  -.0558911   .0240178    -2.33   0.022    -.1035194   -.0082628
       himbara_bank_podes |   .0239977   .0088787     2.70   0.008     .0063909    .0416045
  dist_himbara_bank_podes |  -.0006031   .0003055    -1.97   0.051     -.001209    2.85e-06
                atm_podes |   .0063032   .0088162     0.71   0.476    -.0111796     .023786
       distance_atm_podes |  -.0010164   .0003361    -3.02   0.003     -.001683   -.0003498
           non_agri_podes |    .033892   .0083686     4.05   0.000     .0172967    .0504874
     distance_camat_podes |  -.0019531   .0003599    -5.43   0.000    -.0026669   -.0012393
   weak_cell_signal_podes |  -.0150414   .0059368    -2.53   0.013    -.0268143   -.0032685
               adapkh_udb |   .1430297   .0088194    16.22   0.000     .1255406    .1605188
        sta_bangunan2_udb |  -.0332816    .017634    -1.89   0.062    -.0682505    .0016873
          sta_lahan_m_udb |   .0075331   .0196942     0.38   0.703    -.0315213    .0465875
                daya2_udb |   -.017282   .0059038    -2.93   0.004    -.0289895   -.0055744
            bb_masak9_udb |   -.023609   .0058359    -4.05   0.000    -.0351819   -.0120361
          jumlah_art1_udb |   .0050884    .013875     0.37   0.715    -.0224262    .0326029
          jumlah_art2_udb |   -.031857   .0096822    -3.29   0.001    -.0510571   -.0126568
          jumlah_art3_udb |  -.0113895   .0069251    -1.64   0.103    -.0251221    .0023432
     jumlah_keluarga2_udb |  -.0521543   .0087511    -5.96   0.000    -.0695081   -.0348006
           luas_atb_m_udb |   .0065125   .0112405     0.58   0.564    -.0157778    .0288029
              age_hoh_udb |   -.000513   .0001139    -4.51   0.000    -.0007387   -.0002872
ijazah_tertinggi1_hoh_udb |  -.0136577   .0072328    -1.89   0.062    -.0280006    .0006852
           num_in_hh1_udb |  -.0201109   .0082899    -2.43   0.017      -.03655   -.0036718
           num_in_hh2_udb |  -.0206727   .0071252    -2.90   0.005    -.0348023   -.0065431
       max_edu_in_hh2_udb |  -.0184932   .0060754    -3.04   0.003    -.0305409   -.0064455
      max_edu_in_hh11_udb |   .1326882   .0188321     7.05   0.000     .0953434    .1700329
   chronic_disease_hh_udb |  -.0202365   .0081148    -2.49   0.014    -.0363284   -.0041447
                          |
             finalstratum |
                       2  |  -.0371347   .0255668    -1.45   0.149    -.0878346    .0135653
                       3  |  -.0298573   .0135205    -2.21   0.029     -.056669   -.0030456
                       4  |  -.0112932     .02132    -0.53   0.597    -.0535716    .0309852
                       5  |  -.0622704   .0155173    -4.01   0.000    -.0930418    -.031499
                       6  |  -.0335805   .0201741    -1.66   0.099    -.0735865    .0064255
                       7  |   .0085736   .0206192     0.42   0.678     -.032315    .0494622
                       8  |   .0292161   .0110301     2.65   0.009      .007343    .0510891
                       9  |   .0094676   .0117677     0.80   0.423    -.0138681    .0328034
                      10  |  -.0207555    .017431    -1.19   0.236    -.0553217    .0138108
                      11  |  -.0369807    .017991    -2.06   0.042    -.0726575   -.0013039
                      12  |  -.0578424   .0189198    -3.06   0.003     -.095361   -.0203237
                      13  |   -.007628   .0209458    -0.36   0.716    -.0491643    .0339083
                      14  |    .005786   .0163938     0.35   0.725    -.0267236    .0382956
                    1000  |  -.0075522   .0164333    -0.46   0.647    -.0401399    .0250356
                          |
                    _cons |   .1697445   .0253579     6.69   0.000     .1194588    .2200301
-------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .654
(results savingsallwomenfull are active now)

added matrix:
            e(pvalues) :  1 x 1
Var: savings | PMT: all | Sample: anysex | Desas: full
Original regression:
note: work_hh_m_udb omitted because of collinearity.

Linear regression                               Number of obs     =    167,398
                                                F(49, 104)        =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0616
                                                Root MSE          =     .45592

                                                   (Std. err. adjusted for 105 clusters in KABU)
------------------------------------------------------------------------------------------------
                               |               Robust
                       savings | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------------------------+----------------------------------------------------------------
                       treated |  -.0048884   .0069918    -0.70   0.486    -.0187534    .0089767
                 savings_mar18 |   .3958624   .0742628     5.33   0.000     .2485965    .5431284
       mar16_mutualsquattoilet |  -.3214764   .1951081    -1.65   0.102    -.7083831    .0654304
             mar16_gasorbiogas |  -.3124294   .0586764    -5.32   0.000    -.4287868    -.196072
           mar16_briquettecoal |   17.97085   7.866377     2.28   0.024     2.371527    33.57017
         mar17_savings_account |   .1662214   .0382325     4.35   0.000     .0904048    .2420379
       mar17_mutualsquattoilet |   .1792781   .2209632     0.81   0.419    -.2589001    .6174563
       dist_himbara_bank_podes |  -.0008054   .0002529    -3.19   0.002    -.0013069    -.000304
                     atm_podes |     .03074   .0060439     5.09   0.000     .0187546    .0427254
            distance_atm_podes |  -.0010321   .0002696    -3.83   0.000    -.0015668   -.0004974
                non_agri_podes |   .0403798   .0072869     5.54   0.000     .0259295    .0548301
        weak_cell_signal_podes |  -.0153452   .0056225    -2.73   0.007    -.0264948   -.0041956
             sta_bangunan2_udb |  -.0092112   .0062085    -1.48   0.141    -.0215228    .0031004
                   lantai9_udb |   -.019039   .0067109    -2.84   0.005     -.032347    -.005731
                     daya2_udb |  -.0110472   .0041629    -2.65   0.009    -.0193024    -.002792
                 bb_masak9_udb |  -.0115817   .0047454    -2.44   0.016    -.0209919   -.0021715
                   fasbab5_udb |  -.0162793    .006065    -2.68   0.008    -.0283063   -.0042522
                ada_laptop_udb |   .0838673   .0146517     5.72   0.000     .0548125    .1129221
               jumlah_art2_udb |  -.0352442   .0057243    -6.16   0.000    -.0465958   -.0238926
               jumlah_art3_udb |  -.0129841   .0045664    -2.84   0.005    -.0220394   -.0039287
                   age_hoh_udb |  -.0006402   .0000996    -6.43   0.000    -.0008378   -.0004426
 pendidikan_tertinggi2_hoh_udb |   .0078713   .0067032     1.17   0.243    -.0054215     .021164
 pendidikan_tertinggi8_hoh_udb |   .0592157   .0080129     7.39   0.000     .0433258    .0751056
pendidikan_tertinggi11_hoh_udb |   .1170174   .0354173     3.30   0.001     .0467836    .1872512
     ijazah_tertinggi1_hoh_udb |  -.0223231   .0062741    -3.56   0.001    -.0347648   -.0098814
                num_in_hh2_udb |  -.0125331   .0046006    -2.72   0.008    -.0216563   -.0034098
            max_edu_in_hh2_udb |  -.0223913   .0060564    -3.70   0.000    -.0344014   -.0103812
            max_edu_in_hh7_udb |  -.0273397   .0113091    -2.42   0.017    -.0497661   -.0049133
           max_edu_in_hh11_udb |   .0806401   .0135508     5.95   0.000     .0537684    .1075119
         max_degree_in_hh2_udb |   .0037532   .0051224     0.73   0.465    -.0064047     .013911
         max_degree_in_hh3_udb |  -.0095187   .0053239    -1.79   0.077    -.0200762    .0010387
         max_degree_in_hh6_udb |   .0466604   .0184811     2.52   0.013     .0100117    .0833091
             disability_hh_udb |  -.0375738   .0097082    -3.87   0.000    -.0568256    -.018322
        chronic_disease_hh_udb |  -.0209961    .006137    -3.42   0.001     -.033166   -.0088261
            in_school_hh_m_udb |   .0277629   .0220257     1.26   0.210    -.0159148    .0714407
                 work_hh_m_udb |          0  (omitted)
               num_in_hh_m_udb |   .0308911   .0211072     1.46   0.146    -.0109652    .0727475
                               |
                  finalstratum |
                            2  |  -.0236827    .022541    -1.05   0.296    -.0683823    .0210169
                            3  |  -.0414131   .0136128    -3.04   0.003    -.0684077   -.0144185
                            4  |  -.0205241   .0172056    -1.19   0.236    -.0546435    .0135954
                            5  |  -.0250018    .019465    -1.28   0.202    -.0636017    .0135981
                            6  |  -.0254564   .0194949    -1.31   0.195    -.0641155    .0132028
                            7  |   .0264058    .019158     1.38   0.171    -.0115853    .0643969
                            8  |  -.0112473   .0107895    -1.04   0.300    -.0326434    .0101487
                            9  |   .0024386   .0119116     0.20   0.838    -.0211825    .0260598
                           10  |  -.0285617   .0142064    -2.01   0.047    -.0567336   -.0003898
                           11  |  -.0545146   .0154799    -3.52   0.001    -.0852119   -.0238174
                           12  |  -.0292712   .0184059    -1.59   0.115    -.0657707    .0072283
                           13  |   -.012534   .0182449    -0.69   0.494    -.0487144    .0236463
                           14  |  -.0040811   .0112201    -0.36   0.717    -.0263309    .0181688
                         1000  |  -.0091675   .0122773    -0.75   0.457    -.0335138    .0151788
                               |
                         _cons |   .1731347   .0182793     9.47   0.000     .1368861    .2093833
------------------------------------------------------------------------------------------------
Beginning 1000 regressions...
Completed regression 10
Completed regression 25
Completed regression 50
Completed regression 100
Completed regression 200
Completed regression 300
Completed regression 400
Completed regression 500
Completed regression 600
Completed regression 700
Completed regression 800
Completed regression 900
Completed regression 1000
RI p-val = .524
(results savingsallanysexfull are active now)

added matrix:
            e(pvalues) :  1 x 1

. 
. local prefix: display %tdCYND td(`c(current_date)')

. cap erase "$output/ster_files/20210226_finance/`prefix'_mar19_ind_sav" // clear .ster if it already exists

. qui estimates dir

. foreach e in `r(names)' {
  2.     quietly estimates restore `e'
  3.     estimates title: `e'
  4.     quietly estimates save "$output/ster_files/20210226_finance/`prefix'_mar19_ind_sav", append
  5. }

. 
. log out
out invalid
r(198);

end of do-file

r(198);

. 
. ** PODES village outcomes

. do "$dodir/Analysis/villages_podes.do"

. /**********************************************************************/
. /*
>    Title: villages_podes.do
>    Authors: Clotaire Boyer
>    Created: 2020 11 24
>    Description: Runs village level regs on PODES 2019
> */
. /**********************************************************************/
. 
. 
. cap log close
